Learn to get NumPy array properties: size (element count), shape (dimensions), and nbytes (memory usage).
array
Anything we tagged as an array on our Python site
How to convert list to Numpy array
Learn three methods to convert Python lists to NumPy arrays: np.array(), np.asarray(), and np.concatenate() for different data structures.
How to Calculate the Determinant of a Matrix in Numpy
Learn how to calculate matrix determinants using NumPy’s linalg.det() for linear algebra operations and matrix analysis.
How to rotate a matrix with Numpy
Learn how to rotate, flip, and transpose NumPy matrices using rot90(), flip(), and transpose() methods.
Count how many zeros you have in array
Learn how to count zeros in NumPy arrays using count_nonzero(), sum(), where(), and other efficient methods.
How to empty an array in Numpy?
Numpy offers different ways to create and empty arrays. Let’s learn how to empty an array in Numpy. We will use the Numpy empty method and a clever trick.
How to convert array to binary?
Learn how to save and load NumPy arrays as binary files using tofile(), savez(), and save() methods.
How to normalize array in Numpy?
Learn how to normalize NumPy arrays using np.linalg.norm() for L2 normalization, Min-Max scaling, and standardization. Normalization scales numerical data to a standard range, often between 0 and 1 or to have a unit norm. This process is essential for algorithms sensitive to the scale of input features, such as gradient descent-based methods and distance-based algorithms.
How to permute in Numpy?
Let’s learn how to permute in Numpy. We will use Python Numpy permutation method.
How to print full array in Numpy?
Learn how to display full NumPy arrays without truncation using np.set_printoptions() with threshold parameter.
How many distinct values in array?
Learn how to calculate frequency of distinct values in NumPy arrays using np.unique() with return_counts parameter.
How to count number of zeros in Numpy array?
Let’s check how many zeros there are in your array. We will use the Numpy count_nonzero function. Counting zero elements in arrays is used for tasks such as identifying missing data points (where zeros might represent null values) or analyzing data distributions where the presence of zeros is significant.
How to check if array is empty?
Learn how to check if NumPy arrays are empty using size attribute, shape property, and other validation methods.
How to Convert Numpy Array to Boolean Value
Learn how to convert NumPy arrays to boolean dtype using astype() and other methods for logical operations and comparisons.
How to shuffle an array in Numpy?
Learn how to shuffle NumPy arrays using np.random.shuffle() for randomizing element order in-place.